In June of 2022, the US Centers for Disease Control and Prevention (CDC) Mpox Response wanted timely answers to important epidemiological questions which can now be answered …
D Rotter, P Doebler, F Schmitz - Journal of Medical Internet Research, 2021 - jmir.org
Background In the face of the COVID-19 pandemic, the German government and the 16 German federal states implemented a variety of nonpharmaceutical interventions (NPIs) to …
During the early stages of an emerging disease outbreak, governments are required to make critical decisions on how to respond, despite limited data being available to inform …
J Wardle, S Bhatia, A Cori… - Journal of Travel …, 2024 - academic.oup.com
Background The international flight network creates multiple routes by which pathogens can quickly spread across the globe. In the early stages of infectious disease outbreaks …
H Kang, KD Min, S Jeon, JY Lee, S Cho - Scientific Reports, 2022 - nature.com
High connectivity between nations facilitates the spread of infectious diseases. We introduce an improved measure to estimate the risk of COVID-19 importation. The measure was …
AK Laha, S Majumdar - Stochastic Environmental Research and Risk …, 2023 - Springer
In this paper we model an infectious disease epidemic using Multi-type Branching Process where the number of offsprings of different types follow non-identical Poisson distributions …
During the outbreak of a disease caused by a pathogen with unknown characteristics, the uncertainty of its progression parameters can be reduced by devising methods that, based …
On December 31, 2019, China reported a cluster of pneumonia cases of unknown etiology, in Wuhan, Hubei Province1. Although extraordinary prevention and control measures were …
AM Parrella - 2023 - digital.library.adelaide.edu.au
Sequential Monte Carlo (SMC) methods are vital in fitting models, without a tractable likelihood, to data. When combined with Markov Chain Monte Carlo, SMC allows for full …